Efficient Data Collection in Sensor-Cloud System with Multiple Mobile Sinks

• Published in: Advances in Services Computing Vol. 10065; pp. 130 - 143
• Main Authors: Li, Yang, Wang, Tian, Wang, Guojun, Liang, Junbin, Chen, Hongyu
• Format: Book Chapter
• Language: English
• Published: Switzerland Springer International Publishing AG 2016; Springer International Publishing
• Series: Lecture Notes in Computer Science
• Subjects: Energy; Information retrieval; Latency; Multiple mobile sinks; Sensor-cloud
• ISBN: 3319491776; 9783319491776
• ISSN: 0302-9743; 1611-3349
• DOI: 10.1007/978-3-319-49178-3_10

Cloud computing extends the data processing ability and storage ability of wireless sensor networks (WSNs). However, due to the weak communication ability of WSNs, how to upload the sensed data to the Cloud within the limited time becomes a bottleneck of sensor-cloud system. To solve this problem, we propose to use multiple mobile sinks to help with data uploading from WSNs to Cloud. An efficient algorithm is designed to schedule the multiple mobile sinks, with several provable properties. We conduct extensive simulations to evaluate the performance of proposed algorithm. The results show that our algorithm can upload the data from WSNs to Cloud within the limited latency and minimize the energy consumption as well.